Natural Language Electronic Form Provisioning System
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Solution Overview
Problem
Government agencies face challenges in creating secure, efficient, and transparent online application forms that are adaptable and user-friendly, as existing digital forms lack standardization and often fail to ensure data integrity and confidentiality.
Innovation Solution
A method and system for provisioning electronic forms based on natural language, which involves receiving and analyzing natural language inputs to generate standardized electronic forms that include input and output fields, using a communication device, processing device, and storage device, ensuring confidentiality through unique transaction sessions and hash chain transaction signatures, and allowing for environmental data capture from user devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If government agencies create custom digital-native applications for each agency or service, then the applications can be secure and effective, but each application has a unique design causing problems for creation and user understanding
Solution Approach 1:
The patent implements a universal form template system that can be used across multiple government agencies and services. The standardized form templates with consistent fields, validation rules, and processing logic enable the same technical infrastructure to serve multiple purposes while maintaining security and effectiveness. This eliminates the need for each agency to create unique custom applications.
Solution Approach 2:
The patent segments the form creation process into standardized components and templates that can be independently developed, validated, and reused. By breaking down forms into modular elements with consistent structures, the system allows agencies to assemble secure and effective applications without designing entire custom systems from scratch.
2Reliability
If government agencies replace paper applications with secure digital-native applications, then processing security improves, but the intent of elected officials may be lost in translation
Solution Approach 1:
The patent implements feedback mechanisms where form templates and processing logic are validated against the original legislative requirements and statutory language. This ensures that the digital form accurately reflects the intent of elected officials by continuously referencing and validating against the source legal documents throughout the form creation and processing lifecycle.
Solution Approach 2:
The patent performs preliminary validation and mapping of legislative intent to form structures before the actual form deployment. By pre-establishing the connection between statutory requirements and form fields, the system ensures that the digital representation accurately captures legislative intent before any data collection occurs.
3Ease of manufacture
If standardized form templates are used across agencies, then ease of creation and user understanding improves, but adaptability to specific agency needs may be reduced
Solution Approach 1:
The patent implements dynamic form templates that can be configured and customized based on specific agency requirements while maintaining the core standardized structure. The system allows agencies to dynamically adjust form fields, validation rules, and processing logic within the standardized framework, enabling both ease of creation through templates and adaptability to specific needs through configurable parameters.
Data Source
AI summary
Disclosed is a method of provisioning electronic forms based on natural language. The method includes receiving, using a communication device, a natural language input from a builder device, wherein the natural language input represents one or both of a requested data and a presented data associated with a legal process. Further, the method includes analyzing, using a processing device, the natural language input. Yet further, the method includes generating, using the processing device, an electronic form based on the analyzing of the natural language input, wherein the electronic form comprises an input field configured to receive the requested data and an output field configured to present the presented data. Moreover, the method includes storing, using a storage device, the electronic form. Furthermore, the method includes transmitting, using the communication device, the electronic form to one or more user devices.